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| import pytest
|
| import pandas as pd
| from pandas.core.arrays import period_array
|
|
| class TestReductions:
| def test_min_max(self):
| arr = period_array(
| [
| "2000-01-03",
| "2000-01-03",
| "NaT",
| "2000-01-02",
| "2000-01-05",
| "2000-01-04",
| ],
| freq="D",
| )
|
| result = arr.min()
| expected = pd.Period("2000-01-02", freq="D")
| assert result == expected
|
| result = arr.max()
| expected = pd.Period("2000-01-05", freq="D")
| assert result == expected
|
| result = arr.min(skipna=False)
| assert result is pd.NaT
|
| result = arr.max(skipna=False)
| assert result is pd.NaT
|
| @pytest.mark.parametrize("skipna", [True, False])
| def test_min_max_empty(self, skipna):
| arr = period_array([], freq="D")
| result = arr.min(skipna=skipna)
| assert result is pd.NaT
|
| result = arr.max(skipna=skipna)
| assert result is pd.NaT
|
|
